Bibliometric-enhanced information retrieval: a novel deep feature engineering approach for algorithm searching from full-text publications

2019 ◽  
Vol 119 (1) ◽  
pp. 257-277 ◽  
Author(s):  
Iqra Safder ◽  
Saeed-Ul Hassan
2018 ◽  
Author(s):  
Iqra Safder ◽  
Hafsa Batool ◽  
Saeed-Ul Hassan

Author(s):  
Ida Stadig ◽  
Therese Svanberg

Abstract Objectives This article aims to provide a brief review of information retrieval and hospital-based health technology assessment (HB-HTA) and describe library experiences and working methods at a regional HB-HTA center from the center's inception to the present day. Methods For this brief literature review, searches in PubMed and LISTA were conducted to identify studies reporting on HB-HTA and information retrieval. The description of the library's involvement in the HTA center and its working methods is based on the authors’ experience and internal and/or unpublished documents. Results Region Västra Götaland is the second largest healthcare region in Sweden and has had a regional HB-HTA center since 2007 (HTA-centrum). Assessments are performed by clinicians supported by HTA methodologists. The medical library at Sahlgrenska University Hospital works closely with HTA-centrum, with one HTA librarian responsible for coordinating the work. Conclusion In the literature on HB-HTA, we found limited descriptions of the role librarians and information specialists play in different units. The librarians at HTA-centrum play an important role, not only in literature searching but also in abstract and full-text screening.


2020 ◽  
Author(s):  
Piet van der Keylen ◽  
Johanna Tomandl ◽  
Katharina Wollmann ◽  
Ralph Möhler ◽  
Mario Sofroniou ◽  
...  

BACKGROUND Digitalization and the increasing availability of online information have changed the way in which information is searched for and retrieved by the public and by health professionals. The technical developments in the last two decades have transformed the methods of information retrieval. Although systematic evidence exists on the general information needs of specialists, and in particular, family physicians (FPs), there have been no recent systematic reviews to specifically address the needs of FPs and any barriers that may exist to accessing online health information. OBJECTIVE This review aims to provide an up-to-date perspective on the needs of FPs in searching, retrieving, and using online information. METHODS This systematic review of qualitative and quantitative studies searched a multitude of databases spanning the years 2000 to 2020 (search date January 2020). Studies that analyzed the online information needs of FPs, any barriers to the accessibility of information, and their information-seeking behaviors were included. Two researchers independently scrutinized titles and abstracts, analyzing full-text papers for their eligibility, the studies therein, and the data obtained from them. RESULTS The initial search yielded 4541 studies for initial title and abstract screening. Of the 144 studies that were found to be eligible for full-text screening, 41 were finally included. A total of 20 themes were developed and summarized into 5 main categories: <i>individual needs</i> of FPs before the search; <i>access needs</i>, including factors that would facilitate or hinder information retrieval; <i>quality needs</i> of the information to hand; <i>utilization needs</i> of the information available; and <i>implication needs</i> for everyday practice. CONCLUSIONS This review suggests that searching, accessing, and using online information, as well as any pre-existing needs, barriers, or demands, should not be perceived as separate entities but rather be regarded as a sequential process. Apart from accessing information and evaluating its quality, FPs expressed concerns regarding the applicability of this information to their everyday practice and its subsequent relevance to patient care. Future online information resources should cater to the needs of the primary care setting and seek to address the way in which such resources may be adapted to these specific requirements.


Author(s):  
Furkan Goz ◽  
Alev Mutlu

Keyword indexing is the problem of assigning keywords to text documents. It is an important task as keywords play crucial roles in several information retrieval tasks. The problem is also challenging as the number of text documents is increasing, and such documents come in different forms (i.e., scientific papers, online news articles, and microblog posts). This chapter provides an overview of keyword indexing and elaborates on keyword extraction techniques. The authors provide the general motivations behind the supervised and the unsupervised keyword extraction and enumerate several pioneering and state-of-the-art techniques. Feature engineering, evaluation metrics, and benchmark datasets used to evaluate the performance of keyword extraction systems are also discussed.


Author(s):  
Yangjun Chen ◽  
Yong Shi

An important question in information retrieval is how to create a database index which can be searched efficiently for the data one seeks. Today, one or more of the following four techniques have been frequently used: full text searching, B-trees, inversion, and the signature file. Full text searching imposes no space overhead but requires long response time. In contrast, B-trees, inversion, and the signature file work quickl, but need a large intermediary representation structure (index), which provides direct links to relevant data. In this paper, we concentrate on the techniques of signature files and discuss different construction approaches of a signature file.


Sign in / Sign up

Export Citation Format

Share Document